Job Description

Department Engineering and Technology
LevelInternship
LocationSingapore
The Engineering and Technology team is at the core of the Shopee platform development. The team is made up of a group of passionate engineers from all over the world, striving to build the best systems with the most suitable technologies. Our engineers do not merely solve problems at hand; We build foundations for a long-lasting future. We don't limit ourselves on what we can or can't do; we take matters into our own hands even if it means drilling down to the bottom layer of the computing platform. Shopee's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience it first-hand if you love technologies as much as we do.

About the Team:

The Shopee E-commerce Anti-fraud Algorithm Team is dedicated to enhancing user experience by preventing risks such as low-quality products and fraudulent transactions across search, recommendation, and advertisement scenarios. We are committed to building an industry-leading risk control system that leverages cutting-edge technologies, large-scale deep learning, and emerging AI models.

If you are passionate about e-commerce and risk control, we welcome you to join us in developing advanced anti-fraud algorithms that protect our users and sellers while driving sustainable business growth.

:

As an Anti-Fraud Algorithm Engineer Intern, you will work closely with our risk control and data science teams to support the design and enhancement of anti-fraud systems that protect users and merchants.
Responsibilities:Algorithm Development: Assist in developing and implementing algorithms to detect fraudulent or abnormal transactions, ensuring platform safety and integrity. Model Optimization: Support the exploration and tuning of risk control models to improve accuracy, recall, and scalability. Data Analysis: Conduct exploratory data analysis on transaction patterns, user behavior, and merchant activities using anomaly detection and machine learning techniques. Risk Monitoring: Help build and refine real-time monitoring tools to identify and respond to potential risks promptly. Innovation & Learning: Stay current with the latest advancements in anomaly detection, reinforcement learning, and large-scale AI models, and explore opportunities to apply them in practical scenarios.

What You'll Gain:Hands-on experience in real-world anti-fraud systems and risk modeling. Exposure to large-scale data platforms and AI-driven solutions. Mentorship from experienced algorithm engineers and data scientists.

Requirements:

Currently pursuing a Bachelor's or Master's Degree or in Computer Science, AI, Data Science, or related field. Strong programming skills; proficient in Python, C++, or similar languages. Solid understanding of data structures, algorithms, and basic machine learning principles. Familiarity with at least one deep learning framework (e.g., TensorFlow, PyTorch, MXNet) is a plus. Passion for applying algorithms to solve real-world risk control problems in e-commerce. Detail-oriented, quick learner, and strong sense of ownership. * Good teamwork and communication skills.